• 한국컴퓨터정보학회논문지
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• 제20권7호
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• pp.99-107
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• 2015

This study purposed to analyze difference in experience of life in Korea among adolescents whose immigrant backgrounds were different (Korean-born children of multicultural families and foreign-born immigrant children) using the data of the 2012 National Survey of Multicultural Families (adolescent children aged between 9 and 24). According to the results of analysis, first, multicultural adolescents with immigrant backgrounds experienced 'difficulty in using the Korean language (speaking, listening, reading, and writing),' 'school dropout,' and 'school violence' more frequently than Korean-born multicultural adolescents. Second, with regard to social discrimination (friends, teachers, relatives, neighbors, and unknown people), multicultural adolescents with immigrant backgrounds experienced 'discrimination by teachers,' 'discrimination by relatives,' 'discrimination by neighbors,' and 'discrimination by unknown people' more frequently than Korean-born multicultural adolescents. By analyzing these differences, this study suggested directions for differentiated support policies and specific strategies for adjustment to life in Korea by multicultural family adolescents with different backgrounds.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권1호
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• pp.413-435
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• 2018

Although the accuracy of handwritten character recognition based on deep networks has been shown to be superior to that of the traditional method, the use of an overly deep network significantly increases time consumption during parameter training. For this reason, this paper took the training time and recognition accuracy into consideration and proposed a novel handwritten character recognition algorithm with newly designed network structure, which is based on an extended nonlinear kernel residual network. This network is a non-extremely deep network, and its main design is as follows:(1) Design of an unsupervised apriori algorithm for intra-class clustering, making the subsequent network training more pertinent; (2) presentation of an intermediate convolution model with a pre-processed width level of 2;(3) presentation of a composite residual structure that designs a multi-level quick link; and (4) addition of a Dropout layer after the parameter optimization. The algorithm shows superior results on MNIST and SVHN dataset, which are two character benchmark recognition datasets, and achieves better recognition accuracy and higher recognition efficiency than other deep structures with the same number of layers.

• 한국학교수학회논문집
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• 제7권1호
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• pp.103-120
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• 2004

본 논문은 입시교육에 치중함으로써 흥미나 자신감을 잃고 학습 결손이 누적되어 학습을 포기하는 학생들이 속출하는 인문계 고등학교에서 수학에 대한 인식 및 이해실태를 정확히 진단한 후, 도출된 문제점을 해결할 수 있는 방안으로 활동중심의 교수-학습 방법을 구안ㆍ적용하였다. 설문조사와 참여관찰평가, 인터뷰 자료의 분석 결과, 수학수업의 긍정적 변화를 알 수 있었다.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제29권3호
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• pp.137-143
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• 2018

Objectives: The present study aimed to investigate the relationships among the lifetime incidence of trauma, internalizing symptoms, and quality of life (QoL) in out-of-school youths (OSYs). Methods: We recruited 50 OSYs in South Korea. Participants completed the following surveys: completed Lifetime Incidence of Traumatic Events for children, Youth Self Report, and The KIDSCREEN-27 QoL measure for children and adolescents. Mediation analysis was conducted to test the research hypotheses. Results: The mean lifetime incidence of traumatic events among OSYs was 3.27 (standard deviation, 2.41). Internalizing symptoms significantly mediated the lifetime incidence of trauma and QoL. OSYs with fewer internalizing symptoms exhibited a better QoL in the domain of psychological well-being, although their lifetime incidence of trauma was higher. Conclusion: The results of current study suggest that assessment and therapeutic intervention with regard to internalizing symptoms are needed to increase the QoL of OSYs.

• 한국공간구조학회논문집
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• 제19권2호
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• pp.83-90
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• 2019

Most of the variable shading devices are installed outdoors, so they are greatly affected by structural safety due to external climate change, wind, rain, and snow. Especially, due to strong wind such as typhoons, safety problems may occur due to the dropout of the device. Therefore, it is necessary to secure the structural safety against the wind. Therefore, it is necessary to analyze the structural behavior of the windshield to evaluate the structural safety of the variable sunshade device. In this study, we analyze the wind pressure applied to the shading material according to the change of the length of the variable shading device, and apply it to the calculation of the wind load for the structural design of the variable shading device. The CFD (Computational Fluid Dynamic) analysis of the structure of the sample was used to analyze wind pressure magnitude and distribution. In order to estimate the wind pressure, the maximum wind loads of the static and negative pressures acting on the structure were analyzed from numerical simulation results.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2018년도 춘계학술발표대회
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• pp.37-40
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• 2018

빅데이터 산업 부상과 함께 교육 데이터 분석 분야가 새롭게 주목받고 있다. 교육 현장에서 학습 데이터의 양과 종류는 꾸준히 증가하고 있고 이를 분석하기 위한 정보기술도 계속 발전하고 있다. 한편, 학교 교육은 사회적 성취와 밀접한 관련이 있어 사회이동의 중요한 수단이 되는 만큼 학교 교육으로부터 이탈할 위험이 있는 학생들을 조기에 발견하여 이탈을 방지하는 것은 매우 중요하다. 본 논문은 대학생의 중도탈락을 예방하기 위해 로지스틱 회귀분석과 다층 퍼셉트론 기법을 이용해 학습 데이터를 분석하여 예측 모델을 생성하고 해당 모델을 평가한다. 평가 결과, 다층 퍼셉트론 모델이 로지스틱 회귀분석 모델에 비해 정확도와 재현율은 우수하였지만 정밀도는 약간 저조하였다.

• Communications for Statistical Applications and Methods
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• 제30권4호
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• pp.355-368
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• 2023

This article introduces the R package ELCIC (https://cran.r-project.org/web/packages/ELCIC/index.html), which provides an empirical likelihood-based information criterion (ELCIC) for model selection that includes, but is not limited to, variable selection. The empirical likelihood is a semi-parametric approach to draw statistical inference that does not require distribution assumptions for data generation. Therefore, ELCIC is more robust and versatile in the context of model selection compared to the currently existing information criteria. This paper illustrates several applications of ELCIC, including its use in generalized linear models, generalized estimating equations (GEE) for longitudinal data, and weighted GEE (WGEE) for missing longitudinal data under the mechanisms of missing at random and dropout.

• 대한전자공학회논문지SD
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• 제48권11호
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• pp.34-40
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• 2011

본 논문은 낮은 출력 저항을 버퍼를 사용하여 주파수 보상을 수행한 LDO 선형 레귤레이터에 관한 것이다. 주파수 보상을 위해 제안하는 버퍼는 두 개의 shunt 피드백 루프를 사용하여 출력 저항을 최소화함으로써 이를 통해 LDO 선형 레귤레이터 전체의 부하 및 입력 전압에 따른 레귤레이션 성능을 개선할 수 있고 저전압에서도 낮은 출력 저항을 유지함으로 휴대기기 응용에 있어서도 적합하다. 또한 외부 디지털 제어를 통한 LDO 선형 레귤레이터의 출력 전압을 가변함으로써 외부 MCU와의 인터페이스를 개선하기 위한 기준 전압 제어 기법을 나타내었다. 구현된 LDO 선형 레귤레이터는 2.5V~4.5V의 입력 전압에 대하여 동작하며 최대 300mA의 부하 전류를 0.6~3.3V의 출력 전압에 대하여 제공할 수 있다.

• Asian Pacific Journal of Cancer Prevention
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• 제13권12호
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• pp.6337-6342
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• 2012

Background: Clinical trials on cancer subjects have one of the highest dropout rates. Barriers to recruitment range from patient-related, through institutional-related to staff-related factors. This paper highlights the low response rate and the recruitment barriers faced in our Qigong exercises trial. Materials and Method: The Qigong trial is a three-arm trial with a priori power size of 114 patients for 80% power. The University Malaya Medical Centre database showed a total of 1,933 patients from 2006-2010 and 751 patients met our inclusion criteria. These patients were approached via telephone interview. 131 out of 197 patients attended the trial and the final response rate was 48% (n=95/197). Results: Multiple barriers were identified, and were regrouped as patient-related, clinician-related and/or institutional related. A major consistent barrier was logistic difficulty related to transportation and car parking at the Medical Centre. Conclusions: All clinical trials must pay considerable attention to the recruitment process and it should even be piloted to identify potential barriers and facilitators to reduce attrition rate in trials.

• 한국컴퓨터정보학회논문지
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• 제28권12호
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• pp.211-219
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• 2023

본 연구는 부모 애착과 학교 밖 청소년의 진로 장벽 간의 경로에서 자아존중감의 매개효과를 살펴보고 학교 밖 청소년의 진로 장벽 수준 감소를 위한 방안을 제안하고자 한다. 분석자료로 한국청소년정책연구원에서 수행한 학업 중단 청소년 패널조사 5차 연도 데이터를 활용하여, 학교 밖 청소년 318명을 분석에 활용하였다. 통계 프로그램 SPSS 23.0과 Amos 23.0 version을 이용한 분석결과, 부모 애착 하위 요인인 정서적 지지와 진로 장벽의 모든 하위 요인 간의 경로에서 자아존중감의 매개효과를 확인할 수 있었다. 이런 결과는 학교 밖 청소년의 진로 장벽 수준에 영향을 미치는 부모 애착(정서적 지지, 경제적 지지)과 자아존중감의 향상을 위한 다각적인 차원의 노력이 필요함을 시사한다. 이에 본 연구 결과를 바탕으로 학교 밖 청소년 부모 교육과 자아존중감 향상을 위한 실천적인 방안을 구체적으로 제시하였다.